151 to 175 of 450 Machine Learning Jobs with Remote Work Options

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

for a multi award winning tech company within the automotive industry. You want to work for a company that is looking to AI and ML for their future tech and play a part. You want to have the opportunity to create, change or even start again on projects, its all … Of Service), Workplace Pension, Discounts On Private Health Insurance, Retailers, Gyms & Cycle2work Scheme. This could be great for someone with a genuine interest in machine learning and logistics algorithms. The ideal candidate will join the team and quickly contribute to the machine learning-based route planning … want from you. A minimum of one year of experience Python coding expeirence Experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Experience using GIT, or other codebases. Dat Science or Mathematics degree would be beneficial, but not essential. Bonus more »

Evaluation Master & Reference Data Management - Advisory Report Meta Data Management - Artefacts Data Optimization: Query Optimization (Data Warehouse) - Advisory Report Semantic Layer - Artefacts Analytics Modelling: ML Ops - Strategy Real-Time Workload Integration: Synchronous Web API API Monetisation - Artefacts Data Storage: Operational Datastores - Relational Database - Artefacts Essential Skills and Experience: Proven experience … management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning operations (ML Ops). Ability to evaluate and recommend tools for data quality management. Familiarity with real-time data integration using synchronous web APIs and API monetization more »

will vary dependant on experience. Key Responsibilities for this Senior Compute Library Engineer position: Developing high-performance kernels for use on NPU architectures by ML operators. Ensuring maximum efficiency and performance of existing kernels. Integrating kernels into NPU framework in collaborating with hardware and software teams. Conduct testing and debugging … in parallel programming in either CUDA or OpenCL. Strong software development skills (including strong skills in C/C++) and a basic understanding of ML frameworks. Strong expereince with SIMD is highly advantageous. Keywords: Compute Library/CL/Parallel Programming/CUDA/OpenCL/Microarchitecture/Micro-architecture …/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If you are interested in this Senior Compute Library Engineer position, please send a copy of your CV to ts more »

America) Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning ‍ We are a leading recruitment agency with an established AI department that has been running for over 7 years. more »

Systems Security Professional - CISSP). **Domain Knowledge:** Experience in the defense or intelligence sectors. **Advanced Skills:** Experience with advanced technologies such as artificial intelligence, machine learning, or big data analytics. Benefits **Competitive Salary:** Attractive compensation package commensurate with experience and qualifications. **Health Insurance:** Comprehensive health, dental, and vision … plans. **Retirement Plans:** 401(k) plan with company match. **Paid Time Off:** Generous paid time off (PTO) and holidays. **Professional Development:** Opportunities for continuous learning and professional development. **Work-Life Balance:** Flexible working hours and remote work options. **Equal Opportunity Employer:** We are an equal opportunity employer and value more »

functional specifications across multiple functions Construct SQL queries, report and visuals, using technology like Tableau, for exploratory data analysis Develop and test models using ML model to generate predictive insights Essential Criteria must be clearly demonstrated on CV In depth commercial experience with Azure, AWS or Google Cloud IaaS/… PaaS in area of data preparation/integration and ML model constructions. Experienced with structured and unstructured data and proficient with good with Hypothesis formulation, data preparation and model building. Experience in combining qualitative and quantitative datasets. Experienced in either programming languages such as Python and/or R, data … Proficient with Data concepts and handling variety of datasets, good with hypothesis formulation, data preparation and model building. Should possess enough proficiency with Statistical & ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest more »

for business improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra more »

as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps … and Data Engineers to deploy ML models on AWS. Provide mentorship to peers and partners on potential actions and impacts. Develop Python code adhering to standard processes, CI/CD, and test coverage. Qualifications We strongly encourage anyone with the below to apply: You are a self-starter with experience … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them more »

applications for performance, scalability, and security. Participate in code reviews, providing constructive feedback to team members. Mentor junior developers, fostering a culture of continuous learning and improvement. Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive. Qualifications: Bachelor's or Master … oriented environment. Preferred Qualifications: Experience with Agile/Scrum methodologies. Familiarity with DevOps practices and CI/CD pipelines. Knowledge of data science and machine learning concepts. Experience with other cloud platforms and technologies. What We Offer: Salary between £100-110k Competitive bonus Competitive pension Enhanced private more »

Golang. Focusing on APIs, databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll more »

on various models across Pricing, Fraud and Claims. What you'll do: Collaborate with business partners to improve processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Collaborate with DevOps and Data Engineers to deploy ML models on AWS. Develop Python code … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs and refining them to strong results. Exposure to … BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why choose us? This is your opportunity to be at the forefront of our game-changing more »

Pipelines: Deploy & manage NLP models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability. Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows. Champion NLP Expertise: Collaborate with data science … into operational considerations, & champion continuous improvement of NLP models. We're Looking For: Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python. MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure … GCP). Degree in Computer Science, Machine Learning, or related field (preferred), proficiency in Python and TDD practices, and a proactive learning mindset. If this sounds like you and you'd like to find out more, apply below with your up-to-date CV, or reach out more »